EdX

MathTrackX: Integral Calculus (edX)

MathTrackX: Integral Calculus (edX)

Discover concepts and techniques relating to integration and how they can be applied to solve real world problems. This course is part four of the MathTrackX XSeries Program which has been designed to provide you with a solid foundation in mathematical fundamentals and how they can be applied in the real world.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

This course will cover basic concepts and techniques relating to integration, another fundamental tool of calculus. Integration is key to understanding the accumulation of a quantity given its rate of change.
Guided by experts from the School of Mathematics and the Maths Learning Centre at the University of Adelaide, this course will cover concepts and techniques to provide a foundation for the applications of differentiation in STEM related careers and/or further study at the undergraduate level.
Join us as we provide opportunities to develop your skills and confidence in applying mathematics to solve real world problems.
This course is part of MathTrackX XSeries Program.

What you'll learn

  • The concept of anti-derivative as the reverse of differentiation
  • How to calculate the anti-derivative of polynomials and special functions
  • How to calculate definite integrals and their relation to areas under graphs
  • Applications of integration to calculating areas and solving problems in kinematics.
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

MathTrackX: Probability (edX) EdX
University of Adelaide,AdelaideX

MathTrackX: Probability (edX)

Understand probability and how it manifests in the world around us. This course introduces probability and how it manifests in the world around us. Beginning with discrete random variables, together with their uses in modelling random processes involving chance and variation, you will start to uncover the framework for statistical inference.

Self Paced
Self-Paced
Effective Thinking Through Mathematics (edX) EdX
University of Texas at Austin,UTAustinX

Effective Thinking Through Mathematics (edX)

Learn tools of effective thinking through puzzles and mathematics in this fun and fascinating course. A wondrously romantic belief is that brilliant thinkers magically produce brilliant ideas: Einstein jostles his hair and relativity falls out. We can enjoy these fanciful visions of leaps of genius, but we should not be fooled into believing that they’re reality.

Self Paced
Self-Paced
Pre-University Calculus (edX) EdX
Delft University of Technology,DelftX

Pre-University Calculus (edX)

Prepare for Introductory Calculus courses. Mathematics is the language of Science, Engineering and Technology. Calculus is an elementary Mathematical course in any Science and Engineering Bachelor. Pre-university Calculus will prepare you for the Introductory Calculus courses by revising four important mathematical subjects that are assumed to be mastered by beginning Bachelor students: functions, equations, differentiation and integration.

Self Paced
Self-Paced
MathTrackX: Polynomials, Functions and Graphs (edX) EdX
University of Adelaide,AdelaideX

MathTrackX: Polynomials, Functions and Graphs (edX)

Develop an understanding of polynomials, functions and graphs and how these build the foundation for more complex mathematical concepts. This course is part one of the MathTrackX XSeries Program which has been designed to provide you with a solid foundation in mathematical fundamentals and how they can be applied in the real world.

Self Paced
Self-Paced
Introducción a las ecuaciones diferenciales (edX) EdX
Galileo University,GalileoX

Introducción a las ecuaciones diferenciales (edX)

Aprende el lenguaje de las ecuaciones diferenciales ordinarias y su aplicación en la modelación de muchos de los fenómenos que nos rodean. Este curso en línea se centra en el estudio de las ecuaciones diferenciales ordinarias (EDOs) de primer orden y consta de una introducción a la terminología y teoría, haciendo especial énfasis en la solución analítica de las mismas, sus propiedades y su aplicación en el modelado y resolución de problemas en física e ingeniería, entre otros.

Self Paced
Self-Paced
Cálculo Diferencial (edX) EdX
Galileo University,GalileoX

Cálculo Diferencial (edX)

El Cálculo marca una diferencia en la formación y capacidad de una persona para utilizar las matemáticas en otras ciencias y la ingeniería. Podemos afirmar sin temor a equivocarnos que un buen curso de Cálculo amplía la visión del estudiante en su campo y en su área de estudio.

Self Paced
Self-Paced
Introducción a Matemáticas para Finanzas y Negocios (edX) EdX
Tecnológico de Monterrey,TecdeMonterreyX

Introducción a Matemáticas para Finanzas y Negocios (edX)

El objetivo del curso es entender como ciertos conceptos matemáticos se utilizan de forma recurrente para analizar problemas financieros y de negocios. En la primera parte del curso se analiza el caso de las funciones lineales donde se introduce el concepto de pendiente para cuantificar la dependencia entre las variables.

Self Paced
Self-Paced
Cours préparatoire: Fonctions trigonométriques, logarithmiques et exponentielles (edX) EdX
École Polytechnique Fédérale de Lausanne,EPFLx

Cours préparatoire: Fonctions trigonométriques, logarithmiques et exponentielles (edX)

Ce cours donne les connaissances fondamentales liées aux fonctions trigonométriques, logarithmiques et exponentielles. Le cours propose une approche très détaillée et précise des notions fondamentales liées aux fonctions trigonométriques, logarithmiques et exponentielles.

Self Paced
Self-Paced
Aplicaciones de la Teoría de Grafos a la vida real (I) (edX) EdX
Universitat Politècnica de València,UPValenciaX

Aplicaciones de la Teoría de Grafos a la vida real (I) (edX)

Aprenderemos a modelizar problemas del mundo real mediante su representación con grafos y a resolverlos mediante sus algoritmos asociados. Este curso trata la Teoría de Grafos desde el punto de vista de la modelización, lo que nos permitirá con posterioridad resolver muchos problemas de diversa índole. Presentaremos ejemplos de los distintos problemas en un contexto real, analizaremos la representación de éstos mediante grafos y veremos los algoritmos necesarios para resolverlos.

Self Paced
Self-Paced